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Pan-cancer analyses reveal multi-omic signatures and clinical implementations of the forkhead-box gene family.
Bi, Xiaoman; Zheng, Dehua; Cai, Jiale; Xu, Dahua; Chen, Liyang; Xu, Zhizhou; Cao, Meng; Li, Peihu; Shen, Yutong; Wang, Hong; Zheng, Wuping; Wu, Deng; Zheng, Shaojiang; Li, Kongning.
Affiliation
  • Bi X; Cancer Institute of The First Affiliated Hospital, College of Biomedical Information and Engineering, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China.
  • Zheng D; Cancer Institute of The First Affiliated Hospital, College of Biomedical Information and Engineering, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China.
  • Cai J; Cancer Institute of The First Affiliated Hospital, College of Biomedical Information and Engineering, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China.
  • Xu D; Cancer Institute of The First Affiliated Hospital, College of Biomedical Information and Engineering, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China.
  • Chen L; Cancer Institute of The First Affiliated Hospital, College of Biomedical Information and Engineering, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China.
  • Xu Z; Cancer Institute of The First Affiliated Hospital, College of Biomedical Information and Engineering, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China.
  • Cao M; Cancer Institute of The First Affiliated Hospital, College of Biomedical Information and Engineering, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China.
  • Li P; Cancer Institute of The First Affiliated Hospital, College of Biomedical Information and Engineering, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China.
  • Shen Y; Cancer Institute of The First Affiliated Hospital, College of Biomedical Information and Engineering, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China.
  • Wang H; Cancer Institute of The First Affiliated Hospital, College of Biomedical Information and Engineering, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China.
  • Zheng W; Department of Breast Thoracic Tumor, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.
  • Wu D; School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, China.
  • Zheng S; Cancer Institute of The First Affiliated Hospital, College of Biomedical Information and Engineering, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China.
  • Li K; Key Laboratory of Emergency and Trauma of Ministry of Education, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China.
Cancer Med ; 12(16): 17428-17444, 2023 08.
Article in En | MEDLINE | ID: mdl-37401400
ABSTRACT

BACKGROUND:

Forkhead box (FOX) proteins belong to one of the largest transcription factor families and play crucial roles in the initiation and progression of cancer. Prior research has linked several FOX genes, such as FOXA1 and FOXM1, to the crucial process of carcinogenesis. However, the overall picture of FOX gene family across human cancers is far from clear.

METHODS:

To investigate the broad molecular signatures of the FOX gene family, we conducted study on multi-omics data (including genomics, epigenomics and transcriptomics) from over 11,000 patients with 33 different types of human cancers.

RESULTS:

Pan-cancer analysis reveals that FOX gene mutations were found in 17.4% of tumor patients with a substantial cancer type-dependent pattern. Additionally, high expression heterogeneity of FOX genes across cancer types was discovered, which can be partially attributed to the genomic or epigenomic alteration. Co-expression network analysis reveals that FOX genes may exert functions by regulating the expression of both their own and target genes. For a clinical standpoint, we provided 103 FOX gene-drug target-drug predictions and found FOX gene expression have potential survival predictive value. All of the results have been included in the FOX2Cancer database, which is freely accessible at http//hainmu-biobigdata.com/FOX2Cancer.

CONCLUSION:

Our findings may provide a better understanding of roles FOX genes played in the development of tumors, and help to offer new avenues for uncovering tumorigenesis and unprecedented therapeutic targets.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multiomics / Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Cancer Med Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multiomics / Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Cancer Med Year: 2023 Document type: Article Affiliation country: China